Upload Avatar (500 x 500)
Linghong Zhou
smart@smu.edu.cn
Chinese, English
Guangdong
Southern Medical University
Biomedical Engineering
  • 1983-09 to 1987-06: Bachelor in Precision Instruments, Hefei University of Technology
  • 1990-09 to 1993-04: Master in Biomedical Engineering and Instruments, Tsinghua University
  • 1987-07 to 1999-12: Assistant, Lecturer, Associate Professor at the Department of Electronic Engineering, First Military Medical University
  • 2000-01 to 2004-08: Associate Professor, Deputy Director, Director at the Department of Field Health Equipment, First Military Medical University
  • 2004-09 to 2015-11: Associate Professor, Professor, Director, Deputy Dean, Doctoral Supervisor at the Institute of Medical Instruments, Southern Medical University
  • 2015-11 to present: Director, Professor, Doctoral Supervisor at the Institute of Medical Instruments, Southern Medical University
  • 1998: JX-100X Knife System, First Prize of Science and Technology Progress Award of the People's Liberation Army
  • 1999: JX-100X Knife System, Second Prize of National Science and Technology Progress Award
  • 2002: Development and Clinical Application of Stereotactic Conformal Radiotherapy System, Third Prize of Guangdong Science and Technology Progress Award
  • 2004: Development of Mobile High-Frequency X-ray Machine, Second Prize of Science and Technology Progress Award of the People's Liberation Army
  • 2013: Third Prize of Medical Achievement Award of the People's Liberation Army, 4D-CT Reconstruction and Optimization Technology
  • 2013: Third Prize of Guangxi Science and Technology Progress Award, Clinical Application Research of CT Co-orbit Radiotherapy Technology
  • 2014: Second Prize of National Teaching Achievement Award, Innovation and Practice of Excellent Talent Training Mode in Biomedical Engineering
  • 2014: First Prize of the Seventh Guangdong Education and Teaching Achievement Award, Innovation and Practice of Excellent Talent Training Mode in Biomedical Engineering
Tumor Radiation Physics
Medical Radiation Imaging Methods
FLASH-RT Biological Effects
Tumor Big Data and AI Medical Applications
  • Feasibility study of a multi-criteria decision-making based hierarchical model for multi-modality feature and multi-classifier fusion: Applications in medical prognosis prediction., Q He, X Li, DWN Kim, X Jia, X Gu, X Zhen, L Zhou, 2020
  • Monte Carlo simulation fused with target distribution modeling via deep reinforcement learning for automatic high-efficiency photon distribution estimation., Jianhui Ma, Zun Piao, Shuang Huang, Xiaomman Duan, Gneggeng Qin, Linghong Zhou, Yuan Xu, 2021
  • Knowledge-based self-calibration method of calibration phantom by and for accurate robot-based CT imaging systems., Duan, Xiaoman, Cai, Jiangze, Ling, Qingqing, Huang, Yanchao, Qi, Hongliang, Chen, Yusi, Zhou, Linghong, Xu, Yuan, 2021
  • Multisequence MR‐generated sCT is promising for HNC MR‐only RT: A comprehensive evaluation of previously developed sCT generation networks., Mengke Qi, Yongbao Li, Aiqian Wu, Xingyu Lu, Linghong Zhou, Ting Song, 2022
  • A correlated sampling‐based Monte Carlo simulation for fast CBCT iterative scatter correction., Peishan Qin, Guoqin Lin, Xu Li, Zun Piao, Shuang Huang, WangJiang Wu, Mengke Qi, Jianhui Ma, Linghong Zhou, Yuan Xu, 2022
  • Multi-criterion decision making-based multi-channel hierarchical fusion of digital breast tomosynthesis and digital mammography for breast mass discrimination., Wang Linjing, He Qiang, Wang, Xuetao, Song Ting, Li Xin, Zhang Shuxu, Qin Genggeng, Chen Weiguo, Zhou Linghong, Zhen Xin, 2021
  • A prior image constraint robust principal component analysis reconstruction method for sparse segmental multi-energy computed tomography., Li Bin, Luo Ning, Zhong Anni, Li Yongbao, Chen Along, Zhou Linghong, Xu, Yuan, 2021
  • Deep learning-based 3D in vivo dose reconstruction with an electronic portal imaging device for magnetic resonance-linear accelerators: a proof of concept study., Li Yongbao, Xiao Fan, Liu Biaoshui, Qi Mengke, Lu Xingyu, Cai Jiajun, Zhou Linghong, Song Ting, 2021
  • A Feasibility Study on Deep Learning-Based Individualized 3D Dose Distribution Prediction., Jianhui Ma, Dan Nguyen, Ti Bai, Michael Folkerts, Xun Jia, Weiguo Lu, Linghong Zhou, Steve Jiang, 2021
  • A Feasibility Study for Deep Learning-Based Efficient Monte Carlo Dose Calculation Method in Radiotherapy., Lu X, Li Y, Mengke Q, Zhou L, Song T, 2021
  • Deep learning-based 3D in vivo dose reconstruction with EPID for MR-LINACs: A proof of concept study., Yongbao Li, Fan Xiao, Biaoshui Liu, Mengke Qi, Xingyu Lu, Jiajun Cai, Linghong Zhou, Ting Song, 2021
  • Cross-engine transformation based fast dose calculation for MRI-Linac online treatment planning., Ting Song, Linghong Zhou, Yongbao Li, 2023
  • A transmission measurement-based spectrum estimation method incorporating X-ray tube voltage fluctuation., Pan Z., Li X., Lin G., Qin P., Piao Z., Huang S., Wu W., Qi M, Zhou L, Xu, Y, 2023
  • Adaptive scatter kernel deconvolution modeling for cone‐beam CT scatter correction via deep reinforcement learning., Piao Z, Deng W, Huang S,Lin G,Qin P, Li X, Wu W, Qi M, Zhou L, Li B,Ma J, Xu Y, 2023
  • Feasibility Study of a Cold-cathode Flat-panel X-ray Source with Micro-array Anode Target for Grating Interferometer Computed Tomography., Wangjiang Wu, Mengke Qi, Xiaoye Chen, Yiwen Zhou, Zengxiang Pan, Song Kang, Jiancong Dai, Xiaoying Zhang, Linghong Zhou, Jun Chen, and Yuan Xu, 2023
  • Simultaneous dose distribution and fluence prediction for nasopharyngeal carcinoma IMRT., Yongbao Li, Wenwen Cai, Fan Xiao, Xuanru Zhou, Jiajun Cai, Linghong Zhou, Wen Dou and Ting Song, 2023
  • A predicted three-dimensional dose sequence based treatment planning optimization method for gynecologic IMRT., Qiyuan Jia, Chuancheng Zheng, Yongbao Li, Futong Guo, Linghong Zhou, Ting Song, 2023
  • Multimodality MRI synchronous construction based deep learning framework for MRI-guided radiotherapy synthetic CT generation., Xuanru Zhou, WenwenCai, Jiajun Cai, Fan Xiao, Mengke Qi, Jiawen Liu, Linghong Zhou, Yongbao Li, Ting Song, 2023
  • Cross-engine transformation-based fast dose calculation for MRI-Linac online treatment planning., Ting Song, Linghong Zhou, Yongbao Li, 2023
  • Two Monte Carlo-based Simulators for Imaging System Modeling and Projection Simulation of Flat-Panel X-ray Source., Mengke Qi, Ting He, Yiwen Zhou, Jing Kang, Zengxiang Pan, Song Kang, Wangjiang Wu, Jun Chen, Linghong Zhou, and Yuan Xu, 2023
  • Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study., Guangyao Cai, Fangjun Huang, Yue Gao, Xiao Li, Jianhua Chi, Jincheng Xie, Linghong Zhou, Yanling Feng, He Huang, Ting Deng, Yun Zhou, Chuyao Zhang, Xiaolin Luo, Xing Xie, Qinglei Gao, Xin Zhen, Jihong Liu, 2024
  • Automatic IMRT treatment planning through fluence prediction and plan fine-tuning for nasopharyngeal carcinoma., Wenwen Cai,Shouliang Ding, Linghong Zhou, Ting Song, Yongbao Li, 2024
  • PND-Net: Physics-inspired Non-local Dual-domain Network for Metal Artifact Reduction., Jinqiu Xia, Yiwen Zhou, Wenxin Deng, Jing Kang, Wangjiang Wu, Mengke Qi, Linghong Zhou, Jianhui Ma and Yuan Xu, 2024
Tumor Radiation Physics Therapy Imaging Ai Big Data Flash-Rt Medical Technology

Contact us

Let's talk!
* Required
* Required
* Required
* Invalid email address
By submitting this form, you agree that IoT ONE may contact you with insights and marketing messaging.
No thanks, I don't want to receive any marketing emails from IoT ONE.
Submit

Thank you for your message!
We will contact you soon.